Daniel Benjamin is Associate Professor of Decision Sciences at the H. Wayne Huizenga College of Business and Entrepreneurship at Nova Southeastern University. Dr. Benjamin researches how complexity influences judgment and decision-making, particularly how humans interact with model output and technology. He applies decision theory to solve problems in policy-relevant settings including geopolitical prediction, meta-research in social and biomedical sciences, perceptions of climate change, and expert judgment.

Dr. Benjamin’s background is in quantitative psychology with expertise in decision theory and behavioral methodology. He received his Ph.D. in 2015 in Psychometrics and Quantitative Psychology from Fordham University. Prior to NSU, he was a postdoctoral fellow at the University of Southern California in the Information Sciences Institute with a joint appointment in the Neely Center for Ethical Leadership and Decision Making and in the Biomedical Ethics Unit at McGill University.

Dr. Benjamin’s work has been supported by DAPRA, IARPA, NSF, CIHR, Genome Canada, and BioCanRx, among others. His paper, "Can cancer researchers accurately judge whether preclinical reports will reproduce?," was covered by NPR, Nature, et al., and was named one of PLoS Biology’s Top Media Hits of 2018. His paper, "Hybrid Forecasting of Geopolitical Events" was names Top Viewed Article in A.I. Magazine in 2023.